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Paper Citation Record · LEDGER

A Survey on Semi-Supervised Semantic Segmentation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2302.09899.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2302.09899 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:38:40.281206Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T19:48:57.263531Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 46fb81e6-4af4-46a1-b2e3-8f654a8c7f0c · inbound

SemiHMER: Semi-supervised Handwritten Mathematical Expression Recognition using pseudo-labels cites this paper.

SemiHMER: Semi-supervised Handwritten Mathematical Expression Recognition using pseudo-labels A Survey on Semi-Supervised Semantic Segmentation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-08T13:38:40.281206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:38:40.281206Z digest=sha256:41bfbe2d9e6069c84d3cd7e7edf3f867f033f5e9b5d9dec7ae9a788006a0d3ff

Observation 3ff5daaf-5143-4497-a760-b8a00c0d87a8 · inbound

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation cites this paper.

Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation A Survey on Semi-Supervised Semantic Segmentation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T12:51:32.721700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:51:32.721700Z digest=sha256:c8e2593ae3aefa4dd3b72497d9faf6ed0f988932cb5c5dc77c333ab53eebd369

Observation 47a5c58f-6ebf-4e31-a64a-4c2ebe2ca1f3 · inbound

Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness cites this paper.

Rethinking Semi-supervised Segmentation Beyond Accuracy: Reliability and Robustness A Survey on Semi-Supervised Semantic Segmentation

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:59.813718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:59.813718Z digest=sha256:71c8777f911b7e2fc19f165cd35857440e338e633b77c8c333aabb09e04ef069

Observation cf8096f1-cad1-4e32-b3f4-3eccab5d616f · inbound

RS-MTDF: Multi-Teacher Distillation and Fusion for Remote Sensing Semi-Supervised Semantic Segmentation cites this paper.

RS-MTDF: Multi-Teacher Distillation and Fusion for Remote Sensing Semi-Supervised Semantic Segmentation A Survey on Semi-Supervised Semantic Segmentation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:33.273865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:33.273865Z digest=sha256:2efbd6db6fb636bc00e20108530f9ec1388b5227646dc2b918bab3d98e71ccab

Observation 9b375efd-8ea1-4838-a3a4-1a127c0954a7 · inbound

SemiSegECG: A Multi-Dataset Benchmark for Semi-Supervised Semantic Segmentation in ECG Delineation cites this paper.

SemiSegECG: A Multi-Dataset Benchmark for Semi-Supervised Semantic Segmentation in ECG Delineation A Survey on Semi-Supervised Semantic Segmentation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T14:37:27.945603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:37:27.945603Z digest=sha256:2349b89d1dbc97b77d512e3aace8c3d3fb0b7f3ce19247da68d09adb5b7d112f

Observation e3840254-1dbb-43f6-9d3f-757643c181d5 · inbound

A Semi-Supervised Kernel Two-Sample Test cites this paper.

A Semi-Supervised Kernel Two-Sample Test A Survey on Semi-Supervised Semantic Segmentation

Reference 142

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:26:05.688442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-09T17:11:00.403911Z digest=sha256:c067e36fd18ae940d13aa0d10603c45e696315bf26048e2e36313fb633456339

Observation a7c5b4aa-b7a3-41b8-97d4-394cd9c513f9 · inbound

Bidirectional Fusion Guided by Cardiac Patterns for Semi-Supervised ECG Segmentation cites this paper.

Bidirectional Fusion Guided by Cardiac Patterns for Semi-Supervised ECG Segmentation A Survey on Semi-Supervised Semantic Segmentation

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:48:57.265921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T19:48:28.913654Z digest=sha256:bbe94df7bf93d506a60948815d98ac35028ffa9bf8c23b379cd417e4b8176c12